AINeutralarXiv – CS AI · 18h ago6/10
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LFNO: Bridging Laplace and Fourier via Transient-Steady Decomposition
Researchers introduce LFNO (Laplace-Fourier Neural Operator), a unified neural network framework that combines spectral advantages of Laplace and Fourier transforms to model dynamical systems across transient and steady-state phases. The approach significantly outperforms existing methods on ODE benchmarks while remaining competitive on PDE systems, offering improved stability and interpretability for complex systems.